Functionality for performing a principled reference analysis in the Bayesian normal-normal hierarchical model used for Bayesian meta-analysis, as described in Ott, Plummer and Roos (2021, "How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis", under minor revision for Statistics in Medicine). Computes a reference posterior, induced by a minimally informative improper reference prior for the between-study (heterogeneity) standard deviation. Determines additional proper anti-conservative (and conservative) prior benchmarks. Includes functions for reference analyses at both the posterior and the prior level, which, given the data, quantify the informativeness of a heterogeneity prior of interest relative to the minimally informative reference prior and the proper prior benchmarks. The functions operate on data sets which are compatible with the 'bayesmeta' package.
|Author||Manuela Ott [aut, cre], Malgorzata Roos [aut]|
|Maintainer||Manuela Ott <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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